Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

The Crust and the fiSkeleton: Combinatorial Curve Reconstruction

Summary: The Crust and the fi­Skeleton: Combinatorial
Curve Reconstruction
Nina Amenta \Lambda Marshall Bern y David Eppstein z
December 2, 1997
We construct a graph on a planar point set, which captures its shape in
the following sense: if a smooth curve is sampled densely enough, the graph
on the samples is a polygonalization of the curve, with no extraneous edges.
The required sampling density varies with the Local Feature Size on the curve,
so that areas of less detail can be sampled less densely. We give two different
graphs that, in this sense, reconstruct smooth curves: a simple new construction
which we call the crust, and the fi­skeleton, using a specific value of fi.
1 Introduction
There are many situations in which a set of sample points lying on or near a surface
is used to reconstruct a polygonal approximation to the surface. In the plane, this
problem becomes a sort of unlabeled version of connect­the­dots: we are given a set of
points and asked to connect them into the most likely polygonal curve. We show that
under fairly generous and well­defined sampling conditions either of two proximity­
based graphs defined on the set of points is guaranteed to reconstruct a smooth curve.
These two graphs are the crust, which we define below, and the fi­skeleton, defined


Source: Amenta, Nina - Department of Computer Science, University of California, Davis
O'Brien, James F. - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley


Collections: Biology and Medicine; Computer Technologies and Information Sciences